Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Integration of single-cell sequencing and drug sensitivity profiling reveals an 11-gene prognostic model for liver cancer.

Human genomics - 25 Nov 2024

Zhou Qunfang, Wu Jingqiang, Bei Jiaxin, Zhai Zixuan, Chen Xiuzhen, Liang Wei, Meng Jing, Liu Mingyu

Abstract excerpt

BACKGROUND: Liver cancer has a high global incidence, particularly in East Asia. Early detection difficulties lead to poor prognosis. Single-cell sequencing precisely identifies gene expression differences in specific cell types, making it valuable in tumor microenvironment research and immune drug development. However, the characteristics of tumor cells themselves are equally important for patient prognosis and...

Topics

Join the communities discussing this publication.

Antineoplastic Agents
Biomarkers, Tumor
Carcinoma, Hepatocellular
Gene Expression Profiling
Gene Expression Regulation, Neoplastic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Liver Neoplasms

Single-Cell Analysis

Tumor Microenvironment

Source

Open in PubMed Open full text

Identifiers

PMID: 39587687
DOI: 10.1186/s40246-024-00698-2
PMCID: PMC11590408

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 1 Sept 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integration of single-cell sequencing and drug sensitivity profiling reveals an 11-gene prognostic model for liver cancer.PMID 39587687Read ↗

Development and validation of a six-gene T cell-derived prognostic signature based on single-cell transcriptomics for hepatocellular carcinomaSemantic proximity Read ↗

A novel prognostic model based on single-cell RNA sequencing data for hepatocellular carcinomaSemantic proximity Read ↗

Single-Cell Transcriptome Analysis Identifies Novel Biomarkers Involved in Major Liver Cancer SubtypesSemantic proximity Read ↗

Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing Data to Establish and Validate a Prognostic Model for Patients With Lung AdenocarcinomaSemantic proximity Read ↗

Clinical potential and experimental validation of prognostic genes in hepatocellular carcinoma revealed by risk modeling utilizing single cell and transcriptome constructsSemantic proximity Read ↗

A novel prognostic model for colorectal cancer based on epithelial cell marker genes identified and validated by combining Single-Cell and Bulk RNA- SequencingSemantic proximity Read ↗

Construction of CD8+ T cell-associated risk signature in hepatocellular carcinoma based on single-cell RNA-seq and bulk RNA-seq dataSemantic proximity Read ↗

Integrated analysis of single-cell and bulk RNA-sequencing reveals tumor heterogeneity and a signature based on NK cell marker genes for predicting prognosis in hepatocellular carcinomaSemantic proximity Read ↗

Understanding the heterogeneity in liver hepatocellular carcinoma with a special focus on malignant cell through single-cell analysisSemantic proximity Read ↗

Identification of the CD8+T-cell exhaustion signature of Hepatocellular Carcinoma for the Prediction of prognosis and Immune microenvironment by Integrated Analysis of Bulk- and Single-Cell RNA Sequencing DataSemantic proximity Read ↗

A novel single-cell model reveals ferroptosis-associated biomarkers for individualized therapy and prognostic prediction in hepatocellular carcinomaSemantic proximity Read ↗

Signatures of malignant cells and novel therapeutic targets revealed by single‐cell sequencing in lung adenocarcinomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.